Identification of circles from datapoints using Gaussian sums
arXiv:1403.4413 · doi:10.1016/j.nima.2014.01.046
Abstract
We present a pattern recognition method which use datapoints on a plane and estimates the parameters of a circle. MC data are generated in order to test the method's efficiency over noise hits, uncertainty in the hits positions and number of datapoints. The scenario were the hits from a quadrant of the circle are missing is also considered. The method proposed is proven to be robust, accurate and very efficient.
4 pages, 5 figures